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Machine Learning and Data Classification

Machine Learning and Data Classification

85 faculty research Machine Learning and Data Classification on GradNova.

X
Advanced Graph Neural Networks
Data Mining Algorithms and Applications
Imbalanced Data Classification Techniques
Machine Learning and Data Classification
+1
T
Imbalanced Data Classification Techniques
Machine Learning and Data Classification
Software Engineering Research
Software Reliability and Analysis Research
+1
W
AI Safety
Algorithmic Fairness
Generative AI
Machine Learning and AI for Healthcare
+6
C
Cognitive Modeling
Data Mining and Its Applications
Machine Learning
Machine Learning and Data Classification
+4
D
Educational Games and Gamification
Experimental Learning in Engineering
Machine Learning and Data Classification
Online Learning and Analytics
+1
B
AI-Based Problem Solving and Planning
Bayesian Modeling and Causal Inference
Logic, Reasoning, and Knowledge
Machine Learning and Algorithms
+1
A
Data Stream Mining Techniques
Evolutionary Algorithms and Applications
Machine Learning and Data Classification
Metaheuristic Optimization Algorithms Research
+1
T
Formal Methods in Verification
Machine Learning and Data Classification
Natural Language Processing Techniques
Parallel Computing and Optimization Techniques
+1
F
Advanced Text Analysis Techniques
Data Visualization and Analytics
Gaze Tracking and Assistive Technology
Machine Learning and Data Classification
+1
K
Advanced Bandit Algorithms Research
Auction Theory and Applications
Gaussian Processes and Bayesian Inference
Machine Learning and Algorithms
+1
I
Algorithms and Data Compression
Complexity and Algorithms in Graphs
Machine Learning and Algorithms
Machine Learning and Data Classification
+1
S
Alternatives to Worst-Case Complexity
Domain Adaptation and Transfer Learning
Fairness, Reliability and Interpretability of Machine Learning-Based Tools
Logic and Its Applications to Computer Science Theory
+7
P
Explainable AI
Generative AI
Machine Learning
Natural Language Processing
+5
K
Machine Learning
Advanced Bandit Algorithms Research
Machine Learning and Algorithms
Reinforcement Learning in Robotics
+2
P
Phebe Vayanos

Andrew and Erna Viterbi Early Career Chair and Associate Professor of Industrial and Systems Engineering and Computer Science

Computer Science

University of Southern California

Homelessness and Social Issues
Information and Cyber Security
Machine Learning and Data Classification
Neural Networks and Applications
+1
V
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
Machine Learning and Algorithms
Machine Learning and Data Classification
+1
W
Advanced Bandit Algorithms Research
Gaussian Processes and Bayesian Inference
Machine Learning and Algorithms
Machine Learning and Data Classification
+1
M
Anomaly Detection Techniques and Applications
Bayesian Modeling and Causal Inference
Machine Learning and Data Classification
Machine Learning in Healthcare
+1
C
Machine Learning
Random Sketching
Statistical Learning Theory
Trustworthy Learning
+5
J
Complex Datasets
Deep Learning
Density Estimation
Generative Models
+13
A
Advanced Bandit Algorithms Research
Advanced Multi-Objective Optimization Algorithms
Gaussian Processes and Bayesian Inference
Machine Learning and Data Classification
+1
H
Henry Chai

Lecturer III, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Data Stream Mining Techniques
Data Visualization and Analytics
Gaussian Processes and Bayesian Inference
Machine Learning and Algorithms
+1
N
Data Visualization and Analytics
Topic Modeling
Video Analysis and Summarization
AI in Service Interactions
+1
D
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Machine Learning and Data Classification
Natural Language Processing Techniques
+1
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